Utilizing the advantages of transformer in modeling long-range dependency, this paper proposes a novel Graph Structure Guided Transformer (GSGT) to realize ...
Based on the above idea, we create a Graph Structure-. Guided Transformer for semantic segmentation task, abbre- viated as GSGT. Its structure is shown in Fig.
Utilizing the advantages of transformer in modeling long-range dependency, this paper proposes a novel Graph Structure Guided Transformer (GSGT) to realize ...
A novel segmentation paradigm operating on compressed video data is presented. The paradigm includes the reconstruction of low-resolution images from MPEG1 ...
Aug 15, 2023 · Abstract. The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model ...
MeT: A graph transformer for semantic segmentation of 3D meshes
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Following this trend, we propose a transformer-based method for semantic segmentation of 3D mesh motivated by a better modeling of the graph structure of meshes ...
Jul 7, 2023 · Abstract. Weakly supervised semantic segmentation (WSSS) is a challenging task of computer vision. The state-of-the-art semantic segmentation ...
SGMPT is the first MPT model for multimodal KGR, which mines the structural information underlying the knowledge graph, and outperforms existing ...
Jul 3, 2023 · Following this trend, we propose a transformer-based method for semantic segmentation of 3D mesh motivated by a better modeling of the graph ...
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The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each ...